• Journal of Broadcast Engineering
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• v.9 no.1
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• pp.9-16
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• 2004

In this paper, we present a speech enhancement method as a pre-processor for voice commander under car environment. For the friendly and safe use of voice commander in a running car, non-stationary audio signals such as music and non-candidate speech should be reduced. Ow technique is a two microphone-based one. It consists of two parts Blind Source Separation (BSS) and Kalman filtering. Firstly, BSS is operated as a spatial filter to deal with non-stationary signals and then car noise is reduced by kalman filtering as a temporal filter. Algorithm Performance is tested for speech recognition. And the results show that our two microphone-based technique can be a good candidate to a voice commander.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.5
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• pp.2574-2587
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• 2019

Blind Source Separation (BSS) is a technique used to separate supposed independent sources of signals from a given set of observations. In this paper, the High Exploration Particle Swarm Optimization (HEPSO) algorithm, which is an enhancement of the Particle Swarm Optimization (PSO) algorithm, has been used to separate a set of source signals. Compared to PSO algorithm, HEPSO algorithm depends on two additional operators. The first operator is based on the multi-crossover mechanism of the genetic algorithm while the second one relies on the bee colony mechanism. Both operators have been employed to update the velocity and the position of the particles respectively. Thus, they are used to find the optimal separating matrix. The proposed method enhances the overall efficiency of the standard PSO in terms of good exploration and performance. Based on many tests realized on speech and music signals supplied by the BSS demo, experimental results confirm the robustness and the accuracy of the introduced BSS technique.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.1
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• pp.285-301
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• 2021

Recently, with the diversification of media services and the development of smart devices, users have more opportunities to use digital content, such as movies, dramas, and music; consequently, the size of the copyright market expands simultaneously. However, there are piracy sites that generate revenue by illegal use of copyrighted works. This has led to losses for copyright holders, and the scale of copyrighted works infringed due to the ever-increasing number of piracy sites has increased. To prevent this, government agencies respond to copyright infringement by monitoring piracy sites using online monitoring and countermeasure strategies for infringement. However, the detection and blocking process consumes a significant amount of time when compared to the rate of generating new piracy sites. Hence, online monitoring is less effective. Additionally, given that piracy sites are sophisticated and refined in the same way as legitimate sites, it is necessary to accurately distinguish and block a site that is involved in copyright infringement. Therefore, in this study, we analyze features of piracy sites and based on this analysis, we propose an intelligent detection technique for piracy sites that automatically classifies and detects whether a site is involved in infringement.

• Journal of Industrial Convergence
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• v.21 no.11
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• pp.43-56
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• 2023

This study aims to develop an Orff musical activity program based on interpersonal care for children from multicultural families in South Korea. The Orff music activity program based on interpersonal care consists of a program that can control ego-resilience, peer relationships, happiness, anxiety, and stress, and was developed based on the Analysis, Design, Development, and Implementation (ADDI) model. As a result, a ten-session program was developed based on the expressive area of care, theme, goal, interpersonal care technique, Orff technique. The research results of the developed program show that interpersonal care nursing can be effective for children from multicultural families, and this program can be used as an intervention to improve children's mental health.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.12
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• pp.345-351
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• 2016

The purpose of this study is to provide methods to improve the teaching of piano technique of intermediate-level learners through the works of Stephen Heller by focusing on rhythm and balance. Although a romantic-era composer, Stephen Heller's works are not well-known. However, when analyzing his compositions, many require the player to focus on their foundational piano techniques and musicality. Heller composed many interesting works including etudes that allow intermediate-level pianists to develop their musicality as much as those playing Chopin or Liszt from the same era. This study presents teaching methods for developing piano technique by focusing on rhythm and balance, and for enhancing musicality to improve the quality and significance of piano education and pedagogical research.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.7
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• pp.518-528
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• 2016

It seems like many songs have the tonality of one key in jazz standards, but there are many cases in which more than one new key could be formed, despite being a short moment. Moreover, some songs contain keys of temporary changes many times in the event that keys are changed transitionally with the sequencing of cords many times, which is called 'Transitional Modulation with Sequences. The proceeding II-V-I of the major and minor keys are used as the sequencing of cords, and the most popular type in this sequencing pattern is the downward modulation in whole-steps or half-steps. The downward modulation in the interval of whole-steps is a useful technique; for example, there should be three compositions in the adjacency circumstances when it is used twice. We could express effectively a phenomenon that feelings go up to the climax and rapidly fall down. The downward modulation in half-steps must be more dramatic because a higher comparative aspect is made between the adjacent two keys.

• Journal of Music and Human Behavior
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• v.7 no.2
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• pp.23-45
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• 2010

The purpose of this study is to determine the effects of lyric analysis using the mind-map technique on parenting stress of mothers with disabled children. Six mothers performed psychological tests to confirm the level of parenting stress. Participants attended a total of fourteen lyric-analysis using mind-map programs and the Questionnaire on Resource and Stress (QRS) was administered before the first session and after the last session. Results showed a significant difference (p<.05) in perceived parenting stress. Also positive changes were observed from video analysis of each session. Overall, this study suggests that the lyric analysis based on the application of mind-map may have the positive influence on the parenting stress of mothers raising disabled children.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.9
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• pp.420-426
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• 2018

Acoustic Quanta, which British Physicist Dennis Gabor created, is the theoretical background for granular synthesis and has influenced many computer music artists and sound designers. Acoustic Quanta is a very short sound burst, lasting only 1 to 100 ms. Granular synthesis is a sound synthesis technique which slices original sound into sound grains and re-combines them into a new acoustic event. Concept of sound grain is borrowed from the acoustic quanta. Granular Synthesis can make very unique sound, so that it can be useful in many ways, especially in sound design. This paper presents concept of acoustic quanta and granular synthesis. It then discusses making a synthesizer as an implementation of synchronous granular synthesis and its applications on sound design. As a result, the duration of acoustic quanta should range between 0.239 and 33.367 ms, in consideration of audible frequencies, which is different from the original concept of the acoustic quanta.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.66 no.7
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• pp.1083-1091
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• 2017

As big data technologies have been developed and massive data have exploded from users through various channels, CEO of global IT enterprise mentioned core importance of data in next generation business. Therefore various machine learning technologies have been necessary to apply data driven services but especially recommendation has been core technique in viewpoint of directly providing summarized information or exact choice of items to users in information flooding environment. Recently evolved recommendation techniques have been proposed by many researchers and most of service companies with big data tried to apply refined recommendation method on their online business. For example, Amazon used item to item collaborative filtering method on its sales distribution platform. In this paper, we develop a commercial web service for suggesting music contents and implement three representative collaborative filtering methods on the service. We also produce recommendation lists with three methods based on real world sample data and evaluate the usefulness of them by comparison among the produced result. This study is meaningful in terms of suggesting the right direction and practicality when companies and developers want to develop web services by applying big data based recommendation techniques in practical environment.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.30 no.4
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• pp.275-281
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• 2019

A synthetic aperture radar(SAR) satellite is more effective than an optical satellite for target analysis because an SAR satellite can provide two-dimensional electromagnetic scattering distribution of a target during all-weather and day-and-night operations. To conduct target analysis while considering the earth observation interval of an SAR satellite, observing a specific area as wide as possible would be advantageous. However, wider the observation area, worse is the resolution of the associated SAR satellite image. Although conventional methods for improving the resolution of radar images can be employed for addressing this issue, few studies have been conducted for improving the resolution of SAR satellite images and analyzing the performance. Hence, in this study, the applicability of conventional methods to SAR satellite images is investigated. SAR target detection was first applied to Korea Multipurpose Satellite-5(KOMPSAT-5) SAR images provided by Korea Aerospace Research Institute for extracting target responses. Extrapolation, RELAX, and MUSIC algorithms were subsequently applied to the target responses for improving the resolution, and the corresponding performance was thereby analyzed.